CTOs on the Move

Apellis

www.apellis.com

 
We are a global biopharmaceutical company leveraging courageous science, creativity, and compassion to deliver life-changing therapies. By pioneering targeted C3 therapies, we aim to develop best-in-class and first-in-class therapies for a broad range of debilitating diseases that are driven by uncontrolled or excessive activation of the complement cascade, including those within hematology, ophthalmology, and nephrology.
  • Number of Employees: 250-1000
  • Annual Revenue: $10-50 Million

Executives

Name Title Contact Details

Funding

Apellis raised $32M on 01/07/2016
Apellis raised $60M on 08/10/2017

Similar Companies

Progenity

Progenity, Inc. is a biotechnology company innovating in the fields of women`s health, gastrointestinal health, and oral biotherapeutics. Progenity applies a multi-omics approach, combining genomics, epigenomics, proteomics, and metabolomics to its molecular testing products and to the development of a suite of investigational ingestible devices designed to provide precise diagnostic sampling and drug delivery solutions. Progenity`s vision is to transform healthcare to become more precise and personal by improving diagnoses of disease and improving patient outcomes through localized treatment with targeted therapies.

Quantapore

Quantapore`s novel, high throughput, massively parallel sequencer will allow rapid, affordable and sensitive sequencing of entire genomes. This desktop system will address the need for efficient sequencing. Revenues will be garnered by seeding units into customer facilities, and then by the sale of consumable cartridges; providing rapid growth as the installed base and customer utilization increases.

Reichert Analytical Instruments

Reichert Analytical Instruments is a Depew, NY-based company in the Healthcare, Pharmaceuticals, and Biotech sector.

Insitro

insitro is a data-driven drug discovery and development company that leverages machine learning and high-throughput biology to transform the way medicines are created to help patients. At insitro, we are rethinking the entire drug discovery process, from the perspective of machine learning, human genetics, and high-throughput, quantitative biology. Over the past five decades, we have seen the development of new medicines becoming increasingly more difficult and expensive, leaving many patients with significant unmet need. We`re embarking on a new approach to drug development – one that leverages machine learning and unique in vitro strategies for modeling disease state and designing new therapeutic interventions. We aim to eliminate key bottlenecks in traditional drug discovery, so we can help more people sooner and at a much lower cost to the patient and the healthcare industry. We believe that by harnessing the power of technology to interrogate and measure human biology, we can have a major impact on many diseases. We invest heavily in cutting edge bioengineering technologies to enable the construction of large-scale, high-quality data sets that are designed specifically to drive machine learning methods. Our first application is to use human genetics, functional genomics, and machine learning to build a new generation of in vitro human cell-derived disease models whose response to perturbation is designed to be predictive of human clinical outcomes.

Lumicks

LUMICKS is the leading supplier of Dynamic Single-Molecule and Cell Avidity analysis instruments` Our instruments enable – for the first time – the analysis of complex dynamic details related to the behavior and interaction of single molecules and cells` Built upon innovative and Nobel Prize-winning technologies, such as optical tweezers (Nobel Prize for Physics 2018), and STED super-resolution (Nobel Prize for Chemistry 2014), our tools enable the understanding of life to the smallest detail` Our goal is to improve human health by unlocking the power of Dynamic Single–Molecule and Cell Avidity analysis to provide unparalleled insight into the fundamental cause of disease and potential for drug optimization` These technologies are rapidly evolving as a mainstream approach in academic and pharma research for the study of DNA-protein interactions, molecular motor activity, protein folding, and cell-cell interactions`